London Analytics is a leading provider of B2B cutting-edge AI technologies and services, offering scalable solutions for financial businesses of all sizes. Founded at London Business School by a group of friends who started by scribbling their ideas on a piece of paper, today we offer smart, innovative services to dozens of clients worldwide. 
We are developing technologies and methodologies to prepare companies of all kinds to become not only data-driven but first of all, customer-centric.
Message from our COO and Co-Founder, Kira Begunova


Why London Analytics is Investing in the Data and Hyper-Personalisation Industry?

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  • 2.5 quintillion bytes of data created daily at our current pace (2.5 million times a trillion). And the pace of data generation is growing fast with IoT, 5G, and e-Commerce;

  • 90% of all data in the world was generated over the last two years;

  • Data is the heart of the main digital markets nowadays and needs to be monetised to create value;

  • Companies are drowning in their data investing millions of dollars to hire and build data science teams to monetise their data;

  • Companies need automated and customer-centric data-driven decision making to succeed in the digital transformation process;

  • The global budget of the financial sector in IT is estimated to be above $300B;

  • Annual IT budget per mid-size to large banks ranges from $100M to 16B.  And 61% goes to AI & data services.

  • Financial institutions need to become truly customer-centric, but now they have to compete in two competencies: finance and data science.

Companies from all industries need to bring attention to their data in the next years in order to stay competitive. Digital transformation is already started, but data-driven digital transformation is still to come. 


We believe that the new generation of hyper-connected customers needs to be treated individually when buying something or using financial services. We firmly believe that products and services should adapt to our individual needs, not the way it happens today when we have to adapt to the products that companies offer. The future is different, it is about hyper-personalised interaction and experiences.

This means not only having analytics to track and predict customer behaviour, but also to create an environment where a new generation of analytics can adapt the products and services, in order to match them with customer behaviour in real-time, creating a personalised experience for each individual in an automated, cost-efficient way.

Hyper-personalisation is a broader name for customer-centricity, and it is not about the actual marketing concept of offering the right product or content to each customer. It’s when a company builds its products, services, and processes around their customer needs. Companies like Netflix, Spotify, and Amazon have proved that customer-centricity is the road to digital success. It is all about personalisation.


And to that, the first step is to detect customers' behaviour. This first step is so fundamental that we are specialised in customer profiling models with an entire team, highly skilled in this field. To make it work. data quality is crucial and it explains why we position ourselves in data services.  The second step is to build a totally new generation of adaptive product-analytics. Both combined create a hyper-personalised customer experience. And this movement will create a long-term investment effort by the world's largest companies, as they try to become more competitive in the digital space.

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Our company was founded in 2019. We are based in London, where we have our senior data science team. Every team member has more than 20 years of experience each in pioneering data analytics, AI, and ML projects implemented globally with several original and patented methods for user profiling, payment security, neural network retraining, and solution design concepts. Our experts also led several data consultancy projects and the development of predictive models in areas like fraud detection, risk, AML, payment integrity, churn prevention, customer retention, campaign effectiveness, and customer dissatisfaction for the major banks, insurers, healthcare organisations and retailers in such countries as  UK, USA, Russia, Italy, India, Brazil, South Africa, Turkey and others.

We have our development based in London, San Francisco, and Ukraine, and all projects are coordinated by this highly-experienced team, bringing the best practices and building frameworks that can increase productivity and efficiency of our projects with our clients and products we build. Our cloud platform is managed by the London-based team.

We have an official distributor based in Miami, covering 13 countries of Latin America offering our solutions. In this region, we already worked with clients in Brazil, Peru, Colombia, Ecuador, and Venezuela in areas like payments, lending, fintech, and investing. Our team lead for the region is based in San Francisco, CA, and brings more than 20 years of experience in big data projects in the largest banks in the world. We have a commercial manager based in Sao Paulo, Brazil. We also have projects in the major banks in South Africa where, we are developing local presence and good reputation.


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Pablo Morales, Co-Founder
Chief Executive Officer

Pablo Morales is a senior executive with over 20 years of experience within the tech industry, specialising in finding advanced analytics solutions for banking and government sectors. Under Pablo’s leadership, his teams have successfully delivered complex projects during multiple innovation waves, helping banks to achieve their goals through implementing advanced analytics and AI technologies. Pablo has an extensive background in both technology and business sides, having graduated in Computer Science, Marketing and Business. Pablo also holds a MSc in Leadership and Strategy from London Business School.

Kira Begunova, Co-Founder
Chief Operations Officer

Kira Begunova is an experienced executive with about 20 years in the oil & gas industry managing strategic assets, partnerships, and complex operations using advanced analytics. She worked in the UK, Italy, and the US in international major oil companies, and speaks six languages. Kira has an extensive business and operational background, having MSc in Petroleum Geology and Engineering,  and MSc in Economics. Kira also has a MSc in Leadership and Strategy from London Business School.

Derek Dempsey
Chief Data Advisor

Derek brings more than 20 years of experience in pioneering data analytics, AI, and ML projects globally. Developing several original and patented methods for user profiling, payment security, neural network retraining and solution design concepts, Derek also led several data consultancy projects and the development of predictive models in areas like fraud, risk, AML, payment integrity, churn, customer retention, campaign effectiveness, and customer dissatisfaction for the major banks, insurers, healthcare organisations and retailers in countries like the UK, US, Russia, Italy, India, Brazil, South Africa, Turkey and others. Derek is a graduate of Philosophy from the University of Cambridge and has a MSc in Intelligent Computing from Westminster University.